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    "# INM430 - Tiny DS Project Progress Report\n",
    "\n",
    "\n",
    "***\n",
    "\n",
    "** Student Name: ** _.... Write your name here ...._\n",
    "\n",
    "** Project Title:** _.... Write your project title here ...._\n",
    "\n",
    "***\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part-1: Data source and domain description (maximum 150 words):\n",
    "\n",
    "... Insert your text here ...\n",
    "***\n",
    "\n",
    "\n",
    "\n",
    "## Part-2: Analysis Strategy and Plans (maximum 200 words):\n",
    "\n",
    "... Insert your text here ...\n",
    "\n",
    "***\n",
    "***\n",
    "\n",
    "## Part-3: Initial investigations on the data sources (maximum 150 words): \n",
    "\n",
    "... Insert your text here ...\n",
    "\n",
    "***\n",
    "***\n",
    "\n",
    "## Part-4: Python code for initial investigations"
   ]
  },
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    "# This cell is where you can copy + paste your Python code which loads your data and produces \n",
    "# When you press CTRL+Enter, this cell will execute and produce some output\n",
    "# You can develop your code in Spyder (or another IDE) and copy + paste over here\n",
    "\n",
    "# Step-1: Load your data\n",
    "# Step-2: Get an overview of the data features, some suggestions to look for:\n",
    "#         number of features, data types, any missing values?, \n",
    "#         any transformations needed?\n",
    "\n",
    "# Start with your import (s) here.\n",
    "\n",
    "# The following is essential to get your matplotlib plots inline, so do not miss this one if you have graphics.\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "# Some usual imports here\n",
    "import csv as csv \n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# Continue here with your code\n",
    "\n"
   ]
  }
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